EE - Electrical Engineering

Circuit elements and concepts. Ohm's and Kirchhoff's laws. Simple resistive circuits. Review of matrix algebra. Node voltage method using matrix equations. Superposition. Thevenin and Norton equivalent circuits. Maximum power transfer theorem. Capacitance and inductance. Natural and step response of first- and second-order circuits. Sinusoidal steady-state circuits. PSPICE is incorporated as a simulation software.

Introduction to continuous- and discrete-time signals and systems. Continuous- and discrete-time linear time-invariant systems. Convolution. Impulse and step response. Laplace transform. Fourier series and Fourier transform. Sampling. Z transform. MATLAB software is incorporated throughout.

Measurement experience with a variety of basic electrical instruments. The student engineer will verify many of the principles of electrical circuit theory. Fee: $50

Study of ethical and professional responsibilities in the area of electrical engineering. The impact of solutions related to electrical engineering in global, economic, environmental, and societal contexts. Students are expected to develop a career plan and gain awareness regarding the importance of lifelong learning skills.

Lumped vs. distributed electrical circuits. Transient response of lossless transmission lines. Sinusoidal steady-state waves on lossless transmission lines. Smith chart and impedance matching techniques and networks. Review of vector calculus. Maxwell's equations and solution of wave equations. Uniform plane electromagnetic waves in a simple unbounded lossless medium.

Introduction to digital systems. TTL and CMOS 74-series logic families. Register-transfer level (RTL) combinational and sequential circuit design principles and practices using 74-series devices. Overview of programmable logic device (PLD) architectures. Combinational and sequential circuit designs using a hardware description language.

Introduction to Verilog-based design process. Hierarchical modeling methodology. Basic Verilog language structures for modeling digital hardware functions. Modules and ports. Gate-level modeling. Data flow modeling. Behavioral modeling. Tasks and functions. Useful modeling techniques in digital system design. Component timing and delay modeling. Logic synthesis with Verilog HDL.

This course covers techniques used to process digital signals in applications such as audio filtering and speech recognition. Topics include analog-to-digital and digital-to-analog conversions, aliasing, quantization, discrete-time signals and systems, discrete-time Fourier transform, Z-transform, and digital filter design. MATLAB is used to demonstrate concepts and to process real signals.

Familiarization with the laboratory equipment. Basic gate operations. Combinational logic design using SSI, MSI, and LSI logic devices. Logic design with programmable logic devices. Sequential logic circuits. MSI counters. Designated as a Writing in the Discipline course.

Students will work in teams to design, build, and test an electronic component or system to satisfy a set of requirements within realistic constraints. Fee: $50

Introduction to analog and digital communication systems with emphasis on modulation, demodulation, encoding, decoding, and synchronization techniques used in wireless systems. Python is used to simulate communication systems and to write a software defined receiver (SDR) for a real RF signal.

Introduction to Verilog-based design process. Hierarchical modeling methodology. Basic Verilog language structures for modeling digital hardware functions. Modules and ports. Gate-level modeling. Data flow modeling. Behavioral modeling. Tasks and functions. Useful modeling techniques in digital system design. Component timing and delay modeling. Logic synthesis with Verilog HDL.

This course covers techniques used to process digital signals in applications such as audio filtering and speech recognition. Topics include analog-to-digital and digital-to-analog conversions, aliasing, quantization, discrete-time signals and systems, discrete-time Fourier transform, Z-transform, and digital filter design. MATLAB is used to demonstrate concepts and to process real signals.

Introduction to the hardware and software used in real-time digital signal processing (DSP) systems. Topics include analog-to-digital and digital-to-analog converters, DSP chip architecture, and special software techniques such as frame-based processing, circular buffering, digital filters, and the Fast Fourier Transform. Students will implement real-time DSP systems using C language and will run them on a DSP board.

Applications of electrical engineering in recording and modifying neural activity of the brain. Topics include basics of brain imaging techniques such as electroencephalography (EEG), magnetic resonance imaging (MRI), and functional magnetic resonance imaging (fMRI). Introduction to treatment methods utilizing electric and magnetic fields to alter brain activity such as repetitive transcranial magnetic stimulation (rTMS).

Selected study or project in electrical engineering for upper-division students. Must be arranged between the student and an individual faculty member and subsequently approved by the dean of engineering. No more than three hours of directed study taken at the University may be used for elective credits to satisfy degree requirements.

Credit Arranged.

Faculty-directed student research. Before enrolling, a student must consult with a faculty member to define the project. May be repeated for credit. Course is graded A-F.